DevJobs

Data Engineering Team Lead

Overview
Skills
  • Python Python
  • Java Java
  • SQL SQL
  • Scala Scala
  • Spark Spark
  • Flink Flink
  • MongoDB MongoDB ꞏ 5y
  • Redis Redis
  • Microservices Microservices ꞏ 5y
  • Event-driven architecture ꞏ 5y
  • S3 ꞏ 5y
  • Serverless ꞏ 5y
  • E ꞏ 5y
  • Container Apps ꞏ 5y
  • Blob Storage ꞏ 5y
  • AKS ꞏ 5y
  • Cybersecurity solution development ꞏ 2y
  • Synapse
  • ADX
  • Presto
  • Impala
  • Hive
  • HDInsight
  • Hadoop
  • EMR
  • Databricks
  • CPP

Why Join Us?


The Checkpoint XPR (Extended Prevention and Response) team is dedicated to constructing the next-generation XDR SaaS platform. XPR offers a unified interface covering Incident Management, Threat Hunting & Asset Management, as well as Products Management, Workflow Automations, and Automated Prevention.


The XPR Analytics group is actively seeking a dynamic and skilled Team Lead to join our leadership team in a startup-like environment and contribute to shaping, leading, and delivering our innovative cybersecurity solution.


Key Responsibilities


  • Lead a team of 4-6 proficient data engineers focused on building a scalable and reliable data analytics solution in the cloud. This solution aims to transform diverse security detection data points into a coherent and concise attack picture and mitigation procedure.
  • Establish, nurture, and sustain a team of software engineers.
  • Provide team leadership through coaching and mentorship.
  • Offer technical leadership by guiding solution design and implementation.
  • Collaborate closely with our team of data scientists and analysts, contributing to the development of algorithms, analytic rules, and ML data models to identify and correlate attacks and mitigations.
  • Work collaboratively with fellow managers and teams to successfully deliver value to our customers.


Qualifications

  • BSc degree or equivalent
  • 5+ years of team leadership experience leading data engineering development teams
  • 5+ years of experience in building cloud-based services (Serverless, Blob Storage, S3, Container Apps, E/AKS, Mongo) using event-driven and/or microservice architecture
  • 5+ years of experience in building data engineering solutions
  • 2+ years in cybersecurity solution development
  • Experience creating and optimizing big data processes, pipelines, and architectures on cloud-native environments (Databricks, Synapse, EMR, ADX, HDInsight)
  • Experience with big data solutions (Redis, Impala, Presto, Hive, Spark, Flink, Hadoop)
  • Proficiency with SQL, Python, and one of Java/Scala/CPP

Check Point Software Technologies